Pandemic Parliaments: Canadian Legislatures in a Time of Crisis
Bibliographic record
Abstract
Canadian legislatures’ responses to the COVID-19 pandemic have raised questions about whether and how parliaments should continue to meet during the pandemic (Reid, 2020; Thomas, 2020a). The purpose of this research note is twofold: (1) to document how Canadian legislatures have changed in response to the COVID-19 pandemic and (2) to assess the effect of these responses on legislatures’ ability to fulfill their core functions. Through an analysis of parliamentary records from all elected federal, provincial and territorial legislatures in Canada, we find that the role of parliaments as sites of citizen representation has suffered the most, whereas the scrutinizing and legislative functions of parliaments have tended to be preserved, albeit in a significantly truncated form. We argue that patterns in legislatures' varied responses to the pandemic reveal which aspects of parliamentary functioning these bodies de facto prioritize and which are at risk of being eroded.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".